Skip to content

gollux/rspamd

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Rspamd

DroneCI

Introduction

Rspamd is an advanced spam filtering system that allows evaluation of messages by a number of rules including regular expressions, statistical analysis and custom services such as URL black lists. Each message is analysed by Rspamd and given a spam score.

According to this spam score and the user's settings, Rspamd recommends an action for the MTA to apply to the message, for example, to pass, reject or add a header. Rspamd is designed to process hundreds of messages per second simultaneously, and provides a number of useful features.

Getting Started

A good starting point to study how to install and configure Rspamd is the quick start guide.

Rspamd is packaged for the major Linux distributions, and is also available via FreeBSD ports, NetBSD pkgsrc and OpenBSD ports.

You can also watch some videos about Rspamd.

Spam filtering features

Rspamd is shipped with various spam filtering modules and features enabled just out of the box. The full list of built-in modules could be found in the Rspamd documentation.

If that is not enough, Rspamd provides an extensive Lua API to write your own rules and plugins: https://rspamd.com/doc/tutorials/writing_rules.html

Contributing

Please read CONTRIBUTING.md for details on the process for submitting pull requests to us.

Authors

See also the list of contributors who participated in this project.

License

This project is licensed under the Apache 2.0 License - see the LICENSE.md file for details

References

About

Rapid spam filtering system.

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C 72.6%
  • Lua 19.5%
  • Assembly 1.9%
  • Objective-C 1.3%
  • CMake 1.2%
  • RobotFramework 0.7%
  • Other 2.8%